GenePath: a system for inference of genetic networks and proposal of genetic experiments

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摘要

A genetic network is a formalism that is often used in biology to represent causalities and reason about biological phenomena related to genetic regulation. We present GenePath, a computer-based system that supports the inference of genetic networks from a set of genetic experiments. Implemented in Prolog, GenePath uses abductive inference to elucidate network constraints based on background knowledge and experimental results. Additionally, it can propose genetic experiments that may further refine the discovered network and establish relations between genes that could not be related based on the original experimental data. We illustrate GenePath’s approach and utility on analysis of data on aggregation and sporulation of the soil amoeba Dictyostelium discoideum.

论文关键词:Genetic networks,Functional genomics,Abduction,Bioinformatics,Knowledge discovery,Background knowledge

论文评审过程:Received 15 January 2002, Revised 4 December 2002, Accepted 17 March 2003, Available online 28 August 2003.

论文官网地址:https://doi.org/10.1016/S0933-3657(03)00048-4